1646 papers
This paper develops a transverse nonlinear vibration model for a vertical cantilever that accounts for self-weight and demonstrates that a nonlinear energy sink significantly reduces forced vibrations, with numerical results showing that self-weight has a limited effect on the system's natural frequencies and mode shapes.
This paper proposes and validates a theoretical forward-design strategy combining stiffness reinforcement, length reduction, and elastic mounting to mitigate excessive low-frequency vibrations in nuclear power plant feedwater flow meter brackets, successfully shifting natural frequencies and reducing vibration acceleration by 18.4 to 26.4 dB.
This paper proposes a new 3-D Log-Gabor Feature Similarity Index that extends the FSIM metric to simultaneously evaluate the spatial and spectral quality of pansharpened images by incorporating human visual system principles and inter-band relationships, demonstrating superior performance over existing methods.
This paper establishes an elastic foundation beam model to reveal the mechanical mechanisms of roof instability in gob-side entry retaining, proposing a "strong rib for roof control" strategy that utilizes asymmetric support stiffness to regulate internal forces and prevent catastrophic failure modes.
The paper introduces GLoOD, an autoregressive model that leverages temporal self-attention on visual embeddings to significantly improve the accuracy and robustness of field-based fluid flow predictions across diverse geometries and flow regimes without requiring explicit physical parameters or retraining.
This paper proposes and validates a zonal synergistic control strategy for deep soft-rock roadways that leverages the residual self-bearing capacity of damaged rock by dividing the surrounding mass into distinct weak, stable, and strong bearing layers, thereby significantly reducing deformation and plastic zone extent through optimized support design.
This study proposes a KKT-based mixed-integer optimization framework that co-optimizes battery storage and generator dispatch within Sri Lanka's national grid, demonstrating that direct embedding of storage into the dispatch model effectively captures economic arbitrage and reduces renewable curtailment while highlighting the need for capacity planning based on actual system flexibility rather than average conditions.
This study evaluates the seismic performance of steel beam encased column composite frames with open (I-section) and closed (hollow square) geometries through 1:3 scaled shake table tests and SeismoStruct numerical validation, demonstrating that these composite systems offer superior stiffness-to-weight ratios, ductility, and economic efficiency compared to conventional reinforced concrete structures.
This study reanalyzes sparse wire arc additive manufacturing (WAAM) data to demonstrate that interlayer dwell-time limits vary significantly by material and metric, advocating for a sensitivity-based screening workflow that treats geometric, radiographic, and hardness evidence as separate streams rather than enforcing a single process threshold.
This study demonstrates that employing asymmetric loss functions in deep learning models significantly improves the accuracy and robustness of short-term offshore reservoir production forecasting, particularly by reducing underprediction errors during complex transient events like well shut-ins compared to conventional symmetric loss approaches.